Bernhard Schmierer
- Aging top 5%
- Molecular Biology top 2%
- TGF-β signaling in diseases 8
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- Protein Kinase Regulation and GTPase Signaling 3
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
- Cancer Research top 5%
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 3
Bernhard Schmierer
26 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Aging 86
- Business and International Management 81
- Molecular Biology 2.5k
- Cancer Research 323
- Oncology 482
Countries citing papers authored by Bernhard Schmierer
This map shows the geographic impact of Bernhard Schmierer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bernhard Schmierer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Schmierer more than expected).
Fields of papers citing papers by Bernhard Schmierer
This network shows the impact of papers produced by Bernhard Schmierer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bernhard Schmierer. The network helps show where Bernhard Schmierer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bernhard Schmierer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 32 | |
| 7 | CRISPR–Cas9 genome editing induces a p53-mediated DNA damage responsebreakdown → | 2018 | 853 |
| 8 | 2017 | 43 | |
| 9 | 2015 | 46 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 268 | |
| 12 | 2011 | 12 | |
| 13 | 2010 | 58 | |
| 14 | 2008 | 151 | |
| 15 | TGFβ–SMAD signal transduction: molecular specificity and functional flexibilitybreakdown → | 2007 | 1019 |
| 16 | 2004 | 45 | |
| 17 | 2004 | 110 | |
| 18 | 2003 | 24 | |
| 19 | 2003 | 23 | |
| 20 | 2000 | 25 |
About Bernhard Schmierer
Bernhard Schmierer is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Immunology and Allergy, having authored 28 papers that have together received 3.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), CRISPR and Genetic Engineering (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Aging (86 citations), Business and International Management (81 citations), Molecular Biology (2.5k citations), Cancer Research (323 citations) and Oncology (482 citations). Bernhard Schmierer has collaborated with scholars based in United Kingdom, Sweden and Austria. Frequent co-authors include Caroline S. Hill, Jussi Taipale, Sandeep K. Botla, Emma Haapaniemi, Jenna Persson, Paul A. Bates, Alexander Tournier, Teemu Kivioja, Kashyap Dave and Arttu Jolma. Their work appears in journals such as Journal of Cell Science, Nature Communications, Biology of Reproduction, Journal of Biological Chemistry and Molecular and Cellular Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.